Related Experiment Video
Updated: Jul 4, 2026
05:01
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
EnrichViz: An Interactive R Shiny Application for Visualization of Pathway Enrichment Results from Omics Data.
1Bioinformatics Support Hub, Cushing/Whitney Medical Library, Yale School of Medicine, New Haven, CT 06510.
Biorxiv : the Preprint Server for Biology
|July 3, 2026
Summary
EnrichViz is a new R Shiny application that simplifies the visualization of omics data enrichment results. This code-free tool generates publication-ready figures from pathway analysis, aiding researchers in data interpretation.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Visualization
Background:
- Pathway and functional enrichment analysis are crucial for interpreting omics data.
- Existing tools generate tabular results, requiring custom scripting for visualization, posing a barrier for non-computational researchers.
Purpose of the Study:
- To develop a user-friendly, code-free application for visualizing omics enrichment results.
- To enable researchers to generate publication-ready figures from quantitative proteomics, transcriptomics, and metabolomics data.
Main Methods:
- Developed EnrichViz, a browser-based R Shiny application.
- The application accepts standard CSV files for normalized abundance, sample annotation, and enrichment results.
- Implements six complementary visualizations: bar plots, bubble plots, chord diagrams, heatmaps, boxplots, and violin plots.
Main Results:
- EnrichViz provides interactive, code-free visualization of enrichment data.
- Generates six types of publication-ready figures, including pathway-molecule connectivity and expression patterns.
- Supports automatic detection of p-values and adjustable plot parameters with real-time updates.
Conclusions:
- EnrichViz significantly lowers the computational barrier for visualizing omics enrichment results.
- Facilitates the creation of clear, high-resolution figures for publication.
- Offers a freely accessible tool for researchers across various omics disciplines.
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